AI hallucinations are false or fabricated information presented with complete confidence, as if it were true—a model might cite a study that doesn't exist or describe events that never happened. Spotting them requires checking claims against reliable sources and being skeptical of answers that sound right but lack verification.
AI hallucination occurs when a model generates information that sounds completely plausible and confident but is factually incorrect, fabricated, or unsupported by any real source.
Learning to detect hallucinations, by cross-referencing claims, asking the AI to cite sources, and recognizing suspiciously specific details, is one of the most critical skills for anyone who relies on AI for research, decisions, or professional work.
Peri can explain this concept, give practical examples, help you decide whether it applies to your situation, or recommend a journey if appropriate.
Explore related journeys or tell Peri what you're working through.